A 58-Year-Old Woman With Lung Nodules and Chronic Cough.

CASE PRESENTATION: A 58-year-old woman was referred to our department with a cough of 1 year duration; her condition was unresponsive to the administration of inhaled steroid and beta-2 agonists. She denied the presence of dyspnea, chest pain, or other extrapulmonary symptoms. She was a never-smoker with a negative medical history and no occupational or domestic exposures. There was no history of cancer, gastroesophageal reflux disease, asthma, allergic rhinitis, or other allergies.

Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules.

Rationale: Patients with indeterminate pulmonary nodules (IPNs) at risk of cancer undergo high rates of invasive, costly, and morbid procedures. Objectives: To train and externally validate a risk prediction model that combined clinical, blood, and imaging biomarkers to improve the noninvasive management of IPNs. Methods: In this prospectively collected, retrospective blinded evaluation study, probability of cancer was calculated for 456 patient nodules using the Mayo Clinic model, and patients were categorized into low-, intermediate-, and high-risk groups. A combined biomarker model (CBM) including clinical variables, serum high sensitivity CYFRA 21-1 level, and a radiomic signature was trained in cohort 1 (n = 170) and validated in cohorts 2-4 (total n = 286). All patients were pooled to recalibrate the model for clinical implementation. The clinical utility of the CBM compared with current clinical care was evaluated in 2 cohorts. Measurements and Main Results: The CBM provided improved diagnostic accuracy over the Mayo Clinic model with an improvement in area under the curve of 0.124 (95% bootstrap confidence interval, 0.091-0.156; P < 2 × 10-16). Applying 10% and 70% risk thresholds resulted in a bias-corrected clinical reclassification index for cases and control subjects of 0.15 and 0.12, respectively. A clinical utility analysis of patient medical records estimated that a CBM-guided strategy would have reduced invasive procedures from 62.9% to 50.6% in the intermediate-risk benign population and shortened the median time to diagnosis of cancer from 60 to 21 days in intermediate-risk cancers. Conclusions: Integration of clinical, blood, and image biomarkers improves noninvasive diagnosis of patients with IPNs, potentially reducing the rate of unnecessary invasive procedures while shortening the time to diagnosis.

Accurate diagnosis of pulmonary nodules using a noninvasive DNA methylation test.

BACKGROUNDCurrent clinical management of patients with pulmonary nodules involves either repeated low-dose CT (LDCT)/CT scans or invasive procedures, yet causes significant patient misclassification. An accurate noninvasive test is needed to identify malignant nodules and reduce unnecessary invasive tests.METHODWe developed a diagnostic model based on targeted DNA methylation sequencing of 389 pulmonary nodule patients' plasma samples and then validation in 140 plasma samples independently. We tested the model in different stages and subtypes of pulmonary nodules.RESULTSA 100-feature model was developed and validated for pulmonary nodule diagnosis; the model achieved a receiver operating characteristic curve-AUC (ROC-AUC) of 0.843 on 140 independent validation samples, with an accuracy of 0.800. The performance was well maintained in (a) a 6 to 20 mm size subgroup (n = 100), with a sensitivity of 1.000 and adjusted negative predictive value (NPV) of 1.000 at 10% prevalence; (b) stage I malignancy (n = 90), with a sensitivity of 0.971; (c) different nodule types: solid nodules (n = 78) with a sensitivity of 1.000 and adjusted NPV of 1.000, part-solid nodules (n = 75) with a sensitivity of 0.947 and adjusted NPV of 0.983, and ground-glass nodules (n = 67) with a sensitivity of 0.964 and adjusted NPV of 0.989 at 10% prevalence. This methylation test, called PulmoSeek, outperformed PET-CT and 2 clinical prediction models (Mayo Clinic and Veterans Affairs) in discriminating malignant pulmonary nodules from benign ones.CONCLUSIONThis study suggests that the blood-based DNA methylation model may provide a better test for classifying pulmonary nodules, which could help facilitate the accurate diagnosis of early stage lung cancer from pulmonary nodule patients and guide clinical decisions.FUNDINGThe National Key Research and Development Program of China; Science and Technology Planning Project of Guangdong Province; The National Natural Science Foundation of China National.

RNF213 gene mutation in circulating tumor DNA detected by targeted next-generation sequencing in the assisted discrimination of early-stage lung cancer from pulmonary nodules.

BACKGROUND: To distinguish early-stage lung cancer from benign disease in pulmonary nodules, especially lesions with ground-glass opacity (GGO), we assessed gene mutations of ctDNA in peripheral blood using targeted next-generation sequencing (NGS). METHODS: Single pulmonary nodule patients without mediastinal lymph nodes and symptoms that were hard to diagnose by chest CT and lung cancer biomarker measurement in multiple medical centers were enrolled into the study. All patients accepted minimally invasive surgery but refused preoperative biopsy. Gene mutations in preoperative blood samples were detected by targeted NGS. Mutations with significant differences between lung tumors and benign lesions, as grouped by postoperative pathology, were screened. Protein expression was determined by immunohistochemistry. Highly expressed genes were selected as biomarkers to verify the mutations in peripheral blood. RESULTS: In the training set, the RNF213, KMT2D, CSMD3 and LRP1B genes were mutated more frequently in early-stage lung cancer (27 cases) than in benign nodules (15 cases) (P < 0.05). High expression of the RNF213 gene in lung cancers and low expression in benign diseases were seen by immunohistochemistry. The RNF213 gene was mutated in 25% of lung cancer samples in the validation set of 28 samples and showed high specificity (100%). In GGO patients, RNF213 was mutated more frequently in early-stage lung cancer compared to benign diseases (P < 0.05). CONCLUSIONS: RNF213 gene mutations were observed more frequently in early-stage lung cancer, but not in benign nodules. Mutation of the RNF213 gene in peripheral blood may be a high specificity biomarker for the assisted early diagnosis of lung cancer in pulmonary nodules. KEY POINTS: Significant findings of the study: In peripheral venous blood and tumor tissue, RNF213 gene mutated more frequently in lung cancer than benign pulmonary nodules. WHAT THIS STUDY ADDS: Detection mutation of the RNF213 gene in peripheral blood may be a high specificity method for the assisted early diagnosis of lung cancer in pulmonary nodules.

Mejor discriminación de la naturaleza de 2 nódulos pulmonares sincrónicos con diferentes características morfo-metabólicas mediante PET/TC con 18F-FDG / Better discrimination of the nature of the synchronous pulmonary nodules with different morpho-metabolic characteristics by 18F-FDG PET/CT

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Pulmonary nodular and cystic light chain deposition disease: A retrospective review of 10 cases.

INTRODUCTION: Light chain deposition disease (LCDD) rarely involves the lungs. We report clinical and radiologic findings of pulmonary LCDD. METHODS: We retrospectively identified patients with biopsy-proven pulmonary LCDD seen at Mayo Clinic (Rochester, Minnesota) from January 1997 through December 2018. Demographic, clinical, and imaging features were analyzed. RESULTS: We identified 10 patients with pulmonary LCDD (median age at diagnosis, 55 years; range, 39-77 years). Eight patients were women and 7 were never-smokers. Dyspnea (n = 3) and chest pain (n = 3) were the most common respiratory symptoms. Associated conditions included Sjögren syndrome (n = 6), sarcoidosis (n = 1), and limited scleroderma (n = 1). Eight patients had mucosa-associated lymphoid tissue (MALT) lymphoma. Among the 9 patients with chest computed tomography (CT) images, 8 (89%) had cysts. Cysts were predominantly distributed in the lower lung and were round or oval. All patients had multiple cysts (5 patients had 1-5 cysts, 3 had >20 cysts). The median diameter of the largest cyst was 18 mm (range, 5-68 mm). All 9 patients had solid nodules (3 had >10 nodules). Five patients had subsolid nodules. The median diameter of the largest solid nodules was 13 mm (range, 6-26 mm). Positron emission tomography-CT images were available for 8 patients. The median maximum standardized uptake value of the most avid pulmonary nodule was 2.2 (range, 1.9-6.0). Two patients died during a median follow-up of 2.3 years (range, 0.5-9.9 years). CONCLUSIONS: Pulmonary LCDD is characterized by cysts and nodules. The disease is associated with MALT lymphoma, especially in the setting of Sjögren syndrome.

Effect of a Rule-in Biomarker Test on Pulmonary Nodule Management: A Survey of Pulmonologists and Thoracic Surgeons.

INTRODUCTION: The field of biomarker development is evolving to assist in determining benign from malignant pulmonary nodules. Although a prospective clinical utility would best to show how a biomarker affects patient treatment and outcomes, we sought to begin to understand how the results might alter management by determining how physicians would use the results of a rule-in blood test to manage pulmonary nodules. MATERIALS AND METHODS: Pulmonologists and thoracic surgeons in the American College of Chest Physicians clinician database were invited to participate in an online survey. The participant demographic data were collected. Four hypothetical clinical vignettes were presented. The participants accessed the pretest probability (probability of cancer [pCA]) for malignancy and chose the management strategies as the case progressed. The management strategies chosen before and after the result of a rule-in biomarker test were compared and assessed for guideline concordance. RESULTS: Of the 455 eligible participants who had opened the survey, 416 (92%) completed it: 332 pulmonologists and 84 thoracic surgeons. Although 91% of the participants were very comfortable managing nodules, depending on the case, 30% to 62% incorrectly assessed the pCA, with 22% to 62% overestimating the risk and 8% to 51% underestimating the risk. After a rule-in blood test result, the clinician change in management moved in the right direction in some cases but, in others, the physicians used the results incorrectly. Pulmonologists and thoracic surgeons differed in the management strategies, with surgeons recommending surgery more often. CONCLUSIONS: Although the use of biomarker testing for pulmonary nodule evaluation is promising, without proper physician education, the potential for harm exists. Clinical utility studies are needed to appropriately inform the effect of biomarker use.

An integrated risk predictor for pulmonary nodules.

It is estimated that over 1.5 million lung nodules are detected annually in the United States. Most of these are benign but frequently undergo invasive and costly procedures to rule out malignancy. A risk predictor that can accurately differentiate benign and malignant lung nodules could be used to more efficiently route benign lung nodules to non-invasive observation by CT surveillance and route malignant lung nodules to invasive procedures. The majority of risk predictors developed to date are based exclusively on clinical risk factors, imaging technology or molecular markers. Assessed here are the relative performances of previously reported clinical risk factors and proteomic molecular markers for assessing cancer risk in lung nodules. From this analysis an integrated model incorporating clinical risk factors and proteomic molecular markers is developed and its performance assessed on a subset of 222 lung nodules, between 8mm and 20mm in diameter, collected in a previously reported prospective study. In this analysis it is found that the molecular marker is most predictive. However, the integration of clinical and molecular markers is superior to both clinical and molecular markers separately. CLINICAL TRIAL REGISTRATION: Registered at ClinicalTrials.gov (NCT01752101).

The Impact of a Bayesian Penalized Likelihood Reconstruction Algorithm on the Evaluation of Indeterminate Pulmonary Nodules by Dual-Time Point 18F-FDG PET/CT.

We present the case of a patient with history of colon cancer, referred for the evaluation of indeterminate pulmonary nodules by F-FDG PET/CT. A dual-time point protocol was performed, and images were reconstructed using VUE Point HD and a Bayesian-penalized likelihood reconstruction algorithm (Q.Clear). Visually, the quality of the images was considered better when Q.Clear was used with ß value of 200, uptake in the smallest nodule (7 mm) was clearly visible only with Q.Clear reconstruction, and uptake in the smaller nodules was best defined in the delayed time point acquisition. Quantitative parameters were also higher for Q.Clear.

Reproducibility of Volumetric Computed Tomography of Stable Small Pulmonary Nodules with Implications on Estimated Growth Rate and Optimal Scan Interval.

PURPOSE: To use clinically measured reproducibility of volumetric CT (vCT) of lung nodules to estimate error in nodule growth rate in order to determine optimal scan interval for patient follow-up. METHODS: We performed quantitative vCT on 89 stable non-calcified nodules and 49 calcified nodules measuring 3-13 mm diameter in 71 patients who underwent 3-9 repeat vCT studies for clinical evaluation of pulmonary nodules. Calculated volume standard deviation as a function of mean nodule volume was used to compute error in estimated growth rate. This error was then used to determine the optimal patient follow-up scan interval while fixing the false positive rate at 5%. RESULTS: Linear regression of nodule volume standard deviation versus the mean nodule volume for stable non-calcified nodules yielded a slope of 0.057 ± 0.002 (r2 = 0.79, p<0.001). For calcified stable nodules, the regression slope was 0.052 ± 0.005 (r2 = 0.65, p = 0.03). Using this with the error propagation formula, the optimal patient follow-up scan interval was calculated to be 81 days, independent of initial nodule volume. CONCLUSIONS: Reproducibility of vCT is excellent, and the standard error is proportional to the mean calculated nodule volume for the range of nodules examined. This relationship constrains statistical certainty of vCT calculated doubling times and results in an optimal scan interval that is independent of the initial nodule volume.

Breath carbonyl compounds as biomarkers of lung cancer.

OBJECTIVE: Lung cancer dysregulations impart oxidative stress which results in important metabolic products in the form of volatile organic compounds (VOCs) in exhaled breath. The objective of this work is to use statistical classification models to determine specific carbonyl VOCs in exhaled breath as biomarkers for detection of lung cancer. MATERIALS AND METHODS: Exhaled breath samples from 85 patients with untreated lung cancer, 34 patients with benign pulmonary nodules and 85 healthy controls were collected. Carbonyl compounds in exhaled breath were captured by silicon microreactors and analyzed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). The concentrations of carbonyl compounds were analyzed using a variety of statistical classification models to determine which compounds best differentiated between the patient sub-populations. Predictive accuracy of each of the models was assessed on a separate test data set. RESULTS: Six carbonyl compounds (C(4)H(8)O, C(5)H(10)O, C(2)H(4)O(2), C(4)H(8)O(2), C(6)H(10)O(2), C(9)H(16)O(2)) had significantly elevated concentrations in lung cancer patients vs. CONTROLS: A model based on counting the number of elevated compounds out of these six achieved an overall classification accuracy on the test data of 97% (95% CI 92%-100%), 95% (95% CI 88%-100%), and 89% (95% CI 79%-99%) for classifying lung cancer patients vs. non-smokers, current smokers, and patients with benign nodules, respectively. These results were comparable to benchmarking based on established statistical and machine-learning methods. The sensitivity in each case was 96% or higher, with specificity ranging from 64% for benign nodule patients to 86% for smokers and 100% for non-smokers. CONCLUSION: A model based on elevated levels of the six carbonyl VOCs effectively discriminates lung cancer patients from healthy controls as well as patients with benign pulmonary nodules.

Nódulos pulmonares migratorios en paciente con colitis ulcerosa / Migratory Pulmonary Nodules in a Patient With Ulcerative Colitis

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Lung nodule and functional changes in smokers after smoking cessation short-term treatment.

BACKGROUND: Tobacco smoke causes lung disfunction and inflammation. METHODS: Twenty-two consecutive smokers with undetermined lung nodules were included. All underwent a baseline imaging, exhaled carbon monoxide level evaluation and spirometry, repeated at three months from smoking cessation therapy. RESULTS: A significant reduction in size of the lung nodules was reported (p = .037) as a trend in number reduction (p = .11). A significant increase in blood arterial oxygen pressure (p < .0001), heart rate reduction (p < .01), and FEV1 increase (p < .0001) was recorded. CONCLUSIONS: Smoking cessation reduces number and size of lung nodules and improves in lung functionality.

The frequency and significance of radiologically detected indeterminate pulmonary nodules in patients with colorectal cancer.

OBJECTIVE: To investigate the frequency and significance of pulmonary nodules in patients with colorectal cancer (CRC). SUBJECTS AND METHODS: Medical records of 1,344 patients with CRC who underwent thoracic computerized tomography scans between January 2003 and December 2009 were reviewed. Those with any distant metastatic disease or who were already known to have pulmonary malignancies were excluded. Number, size, shape and location of the nodules were evaluated. A multivariate analysis was performed to determine the predictive factors for evidence of metastases. RESULTS: Of the 1,344 patients, 55 (4.09%) had nodules that met the criteria of an indeterminate pulmonary nodule. The mean follow-up time was 25 ± 17.9 months and the mean time to develop pulmonary metastasis was 15.5 ± 6.4 months. The nodules of 17 (30.9%) patients showed progression at follow-up; 8 had metastasized. Multivariate analysis showed multiple indeterminate pulmonary nodules (p = 0.006) of parenchymal localization (p = 0.016) with an irregular border (p = 0.002), which is predictive of metastatic disease. CONCLUSION: Our study has shown that multiple indeterminate pulmonary nodules with an irregular border in a parenchymal location were more likely to represent metastatic disease. However, the frequency of the occurrence of indeterminate pulmonary metastases of CRC was low.

Pulmonary epithelioid hemangioendothelioma accompanied by bilateral multiple calcified nodules in lung.

Pulmonary epithelioid hemangioendothelioma (PEH) is a rare vascular tumor. It can present either as one solitary nodule or bilateral multiple nodules, usually without calcification. We describe here an unusual case of PEH in a 42-year-old female with a 6.0 cm dominant mass along with bilateral multiple calcified small nodules measuring 0.2-1.0 cm in diameter with a 25-year plus followup history. Overall histologic findings of the solitary tumor accorded with conventional PEH. While multiple calcified small nodules were composed predominantly of intra-alveolar homogeneously eosinophilic matrix, and only a few bland small cells were embedded in it. This lesion has never been reported in the literature. After comprehensive analysis of morphology, radiography, histochemistry, immunohistochemistry and differential diagnoses, PEH presenting multiple calcified small nodules was confirmed.